Examples of using A decision tree in English and their translations into Chinese
{-}
-
Political
-
Ecclesiastic
-
Programming
For example, a decision tree yields a chain of inference that describes the classification process.
例如，一个决策树产生描述分类过程的推理链。Such a decision tree may help you understand the impact of the given sales campaign and design a more effective campaign in the future.
这样的判定树可以帮助你理解给定销售活动的影响，并帮助你设计未来更有效的销售活动。What's less straightforward is how we can build a decision tree that models a given training set.
不那么直接的是我们如何能够建立一个模拟给定的训练集的决策树。ID3: In decision tree learning, ID3(Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan, used to generate a decision tree from a dataset.
ID3算法（IterativeDichotomiser3）是一个由RossQuinlan发明的用于决策树的算法。In decision tree learning, ID3(Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan used to generate a decision tree from a dataset.
ID3算法（IterativeDichotomiser3迭代二叉树3代）是一个由RossQuinlan发明的用于决策树的算法。ID3(Iterative Dichotomiser 3) is an algorithm used to generate a decision tree invented by Ross Quinlan.
ID3算法（IterativeDichotomiser3）是一个由RossQuinlan发明的用于决策树的算法。ID3(Iterative Dichotomiser 3) algorithm invented by Ross Quinlan is used to generate a decision tree from a dataset.
ID3算法（IterativeDichotomiser3）是一个由RossQuinlan发明的用于决策树的算法。A decision tree is a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
决策树是一个利用像树一样的图形或决策模型的决策支持工具，包括随机事件结果，资源代价和实用性。A DECISION TREE.
决策树.Is a classification tree like a decision tree?
分类树是否像决策树?Figure 9: Adaboost for a decision tree.
图9：一个决策树的Adaboost.C4.5 builds a decision tree classification model during training.
A decision tree can have more or less depth.
决策树可以拥有更大或更小的深度。A decision tree can have more or less depth.
一颗决策树可能拥有更大或更小的深度。A decision tree is similar to a flow chart.
决策树是一个类似于流程图的树结构。Figure 1 represents an example of a decision tree.
图1是一个决策树的示意图。You can treat this problem as a decision tree.
你可以将这个问题看作是一个决策树。A decision tree does not need scaling of information.
袋装决策树不需要任何数据缩放。We can represent all possible outcomes in a decision tree.
我们可以在一个决策树中表示所有可能的结果。C4.5 is an algorithm used to generate a decision tree.
C4.5算法是用于生成决策树的一种经典算法。
